Genome-wide association study of alcohol consumption and genetic overlap with other health-related traits in UK Biobank (N=112117)
MOLECULAR PSYCHIATRY
Authors: Clarke, T-K; Adams, M. J.; Davies, G.; Howard, D. M.; Hall, L. S.; Padmanabhan, S.; Murray, A. D.; Smith, B. H.; Campbell, A.; Hayward, C.; Porteous, D. J.; Deary, I. J.; McIntosh, A. M.
Abstract
Alcohol consumption has been linked to over 200 diseases and is responsible for over 5% of the global disease burden. Well-known genetic variants in alcohol metabolizing genes, for example, ALDH2 and ADH1B, are strongly associated with alcohol consumption but have limited impact in European populations where they are found at low frequency. We performed a genome-wide association study (GWAS) of self-reported alcohol consumption in 112 117 individuals in the UK Biobank (UKB) sample of white British individuals. We report significant genome-wide associations at 14 loci. These include single-nucleotide polymorphisms (SNPs) in alcohol metabolizing genes (ADH1B/ADH1C/ADH5) and two loci in KLB, a gene recently associated with alcohol consumption. We also identify SNPs at novel loci including GCKR, CADM2 and FAM69C. Gene-based analyses found significant associations with genes implicated in the neurobiology of substance use (DRD2, PDE4B). GCTA analyses found a significant SNP-based heritability of self-reported alcohol consumption of 13% (se = 0.01). Sex-specific analyses found largely overlapping GWAS loci and the genetic correlation (rG) between male and female alcohol consumption was 0.90 (s.e. = 0.09, P-value = 7.16 x 10(-23)). Using LD score regression, genetic overlap was found between alcohol consumption and years of schooling (rG = 0.18, s.e. = 0.03), high-density lipoprotein cholesterol (rG = 0.28, s.e. = 0.05), smoking (rG = 0.40, s.e. = 0.06) and various anthropometric traits (for example, overweight, rG = -0.19, s.e. = 0.05). This study replicates the association between alcohol consumption and alcohol metabolizing genes and KLB, and identifies novel gene associations that should be the focus of future studies investigating the neurobiology of alcohol consumption.
Identification of endometriosis-related genes by representational difference analysis of cDNA
AUSTRALIAN & NEW ZEALAND JOURNAL OF OBSTETRICS & GYNAECOLOGY
Authors: Chen, Qi; Zhang, ChiYuan; Chen, YingHan; Lou, Jie; Wang, Danbo
Abstract
Background: Accumulated evidence reveals that abnormally expressed genes in eutopic endometrium of endometriosis play a critical role in the pathogenesis of endometriosis. Aims: Identification of endometriosis-related genes for further revealing the pathogenesis of endometriosis and offering the basis for developing the molecular-targeted diagnosis and therapy of endometriosis. Methods: Forty women with endometriosis and forty control women without endometriosis during their secretory phase were selected for this study. cDNA representational difference analysis (cDNA-RDA) was performed to screen the upregulated genes in eutopic endometrium samples of endometriosis (n = 10) compared with the controls (n = 10). To validate the results, MAT2A, the most abundantly expressed gene, was selected to detect mRNA and protein levels between eutopic endometrium of endometriosis (n = 40) and controls (n = 40) using immunohistochemistry, real-time fluorescent quantitative PCR and Western blotting. Results: Ten up-regulated genes were identified in eutopic endometria of endometriosis compared with controls. Among these genes, COX-2, BRAF, NRAS and CFL1 have already been reported to be associated with the endometriosis in previous studies. MAT2A, SEPT9, ATAD3A and CADM2 have been reported to be involved in other diseases but not in endometriosis. NAA15 and CCDC21 have not reported in any diseases. Further study showed that MAT2A protein was localised in both endometrial glandular and stromal cells. Compared with controls, the mRNA and protein levels of MAT2A were significantly higher in eutopic endometrium of endometriosis (P < 0.05). Conclusions: cDNA-RDA can be used to effectively identify the endometriosis-related genes, which can provide novel experimental data and further understand the pathogenesis of endometriosis.